A National Measurement Framework to Assess and Improve Sickle Cell Care in 4 US Regions

Public Health Rep. 2020 Jul/Aug;135(4):442-451. doi: 10.1177/0033354920935068. Epub 2020 Jul 8.

Abstract

Objectives: Coordinated measurement strategies are needed to inform collaborative approaches to improve access to and quality of care for persons with sickle cell disease (SCD). The objective of our study was to develop a multilevel measurement strategy to assess improvements in access to and quality of care for persons with SCD in 4 US regions.

Methods: From 2014 through 2017, regional grantees in the Sickle Cell Disease Treatment Demonstration Program collected administrative and patient-level electronic health record (EHR) data to assess quality improvement initiatives. Four grantees-covering 29 US states and territories and an SCD population of 56 720-used a collective impact model to organize their work. The grantees collected administrative data from state Medicaid and Medicaid managed care organizations (MCOs) at multiple points during 2014-2017 to assess improvements at the population level, and local patient-level data were abstracted from site-level EHRs at regular intervals to track improvements over time.

Results: Administrative data were an important source of understanding population-level improvements but were delayed, whereas patient-level data were more sensitive to small-scale quality improvements.

Conclusions: We established a shared measurement approach in partnership with Medicaid and Medicaid MCO stakeholders that can be leveraged to effectively support quality improvement initiatives for persons with SCD in the United States.

Keywords: administrative data; collective impact; measurement; quality improvement; sickle cell disease.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Anemia, Sickle Cell / therapy*
  • Delivery of Health Care / standards*
  • Delivery of Health Care / statistics & numerical data*
  • Humans
  • Practice Guidelines as Topic*
  • Quality Improvement / standards*
  • Quality Improvement / statistics & numerical data*
  • United States / epidemiology